Autism spectrum disorder (ASD) is a common and lifelong neurodevelopmental disorder with the hallmark features of social impairment and restricted and repetitive patterns of behaviour. Individuals with ASD often experience co-occurring mental health difficulties, some of which may obfuscate the ASD features themselves. Although there is a high need for mental health services for autistic adults, there are surprisingly few evidence-based treatments (EBTs) available; moreover, many mental health practitioners who are well-trained in EBTs shy away from treating autistic individuals due to lack of training in ASD.

The aim of the current study was to evaluate the feasibility and acceptability of dialectical behaviour therapy skills training (DBT-ST) in a sample of autistic adults without intellectual disability.

Sixteen adults with ASD were recruited from a treatment waiting list to enrol in this study, which included 24 weeks of DBT-ST delivered in a group setting. Feasibility and acceptability were assessed using retention and attendance data and a participant satisfaction questionnaire.

Retention (81.3%) and attendance data (mean 87.5%) provided support for the feasibility of this intervention. Overall satisfaction ratings were high (mean 4.5 out of 5), and participants reported that they felt that DBT-ST would probably be helpful for others with ASD (mean 4.5 out of 5).

The study findings provide preliminary evidence of (1) the feasibility of providing DBT-ST for autistic adults in community-based clinics, and (2) the perceived benefit of DBT-ST for this under-served population. Recommended modifications to the standard DBT-ST materials are discussed.

The coronavirus disease 2019 (COVID-19) pandemic and the necessary social isolation and distancing measures – that were adopted to prevent spreading the virus, including the suspension of university classes – negatively impacted the mental health of young adults. The aim of the current study was to investigate whether returning to online classes, even not presential, during the social isolation of the COVID-19 pandemic, affected the mental health of university students.

Forty students (10 men and 30 women) (age, 22.3 ± 3.8 years; body mass, 62.5 ± 17.8 kg; height, 165.6 ± 8.7 cm) from undergraduate health courses participated in the study. The students answered a self-administered questionnaire designed to gather personal and quarantine information as well as information about the frequency of depression (PHQ-9) and anxiety (GAD-7) symptoms. The questionnaire was answered before and after the return to online classes.

There was a significantly lower frequency of depression symptoms after the return to online classes (Z = −2.27; p = 0.02). However, there was no difference in anxiety symptoms before and after returning to online classes (Z = −0.51; p = 0.61).

Return to online classes positively impacted the mental health (decrease of frequency of depression symptoms) of university students. Future studies are needed to observe whether the changes observed after returning to school are maintained over time.

Unipolar mania is not included in the diagnostic and statistical manual of mental disorders-5 (DSM-5) as a separate diagnosis, although it is defined by widely accepted diagnostic criteria. The aim of this study was to investigate the differences between unipolar mania and bipolar disorder in terms of clinical and inflammatory parameters.

The data of 495 hospitalised patients with bipolar disorder diagnoses were analysed retrospectively. Forty met the diagnostic criteria for unipolar mania. Two patients refused to participate in the study. Thirty-eight unipolar mania patients and 42 randomly selected patients with bipolar disorder diagnosis were included in the study. The two groups were compared in terms of sociodemographic, clinical characteristics, serum brain-derived neurotrophic factor, C-reactive protein (CRP), leucocyte and cytokine levels.

A total of 40 (8.08%) of 495 patients diagnosed with bipolar disorder met the unipolar mania diagnostic criteria. The number of manic episodes and the number of hospitalisations were statistically higher in the unipolar mania group than in the bipolar disorder group. Among all the manic symptoms, the incidence of symptoms such as euphoria, increased sexual interest, grandiosity and delusions were found to be statistically higher in the unipolar mania group. Interleukin (IL)-6 and CRP levels were significantly higher in the unipolar mania group than in the bipolar disorder group.

Unipolar mania differs from bipolar disorder in terms of clinical features and serum IL-6 and CRP levels.

Anxiety disorders are the most prevalent mental disorder in children and young people. Developing effective therapy for these children is critical to reduce mental disorders across the lifespan. The study aimed to evaluate the efficacy of combining cognitive behavioural therapy (CBT) and sertraline (SERT) in the treatment of anxiety in youth, using a double-blind randomised control trial design.

Ninety-nine youth (ages 7–15 years) with an anxiety disorder were randomly allocated to either individual (CBT) and SERT or individual CBT and pill placebo and assessed again immediately and 6 months after treatment.

There were no significant differences between conditions in remission of primary anxiety disorder or all anxiety disorders. Furthermore, there were no significant differences in rates of change in diagnostic severity, parent-reported anxiety symptoms, child-reported anxiety symptoms or life interference due to anxiety.

The efficacy of CBT for children and adolescents with anxiety disorders is not significantly enhanced by combination with a short-term course of anti-depressants over and above the combined effects of pill placebo.

To assess the mental health of pregnant women, with reference to anxiety, depression and obsessive-compulsive (OC) symptoms, during the COVID-19 pandemic.

A cross-sectional survey was conducted in Ireland during the third wave of the pandemic between February and March 2021. Psychiatric, social and obstetric information was collected from pregnant women in a Dublin maternity hospital, alongside self-reported measures of mental health status.

Of 392 women responding, 23.7% had anxiety, scoring >9 for GAD-7 (7-item generalised anxiety disorder), 20.4% had depression, scoring >9 for PHQ-9 (9-item depression screening tool: Patient health questionnaire) and 10.3% had obsessive-compulsive disorder (OCD), scoring >13 for Yale–Brown obsessive-compulsive scale symptom checklist (Y-BOCS). Amongst self-reported OCD symptoms, there was a preponderance for obsessions rather than compulsions. Of 392 women, 36.2% described their mental health as worse during the pandemic, most frequently describing symptoms of anxiety and sleep disturbance. When analysed against test scores, self-reported worsening of mental health was significantly associated with higher scores on the GAD-7, PHQ-9 and Y-BOCS scales. The three scores were positively interrelated. Poor mental health scores were associated with self-reported strain in relationship with the baby’s father, and current or previous history of mental illness.

This study found high levels of depression, anxiety and OC symptoms amongst pregnant women during COVID-19. This highlights the vulnerability of this group to mental illness and the importance of enhanced screening and support during pandemics.

People with psychosis experience cardiometabolic comorbidities, including metabolic syndrome, coronary heart disease and diabetes. These physical comorbidities have been linked to diet, inactivity and the effects of the illness itself, including disorganisation, impairments in global function and amotivation associated with negative symptoms of schizophrenia or co-morbid depression.

We aimed to describe the dietary intake, physical activity (PA) and sedentary behaviour patterns of a sample of patients with established psychosis participating in the Improving Physical Health and Reducing Substance Use in Severe Mental Illness (IMPaCT) randomised controlled trial, and to explore the relationship between these lifestyle factors and mental health symptomatology.

A majority of participants had poor dietary quality, low in fruit and vegetables and high in discretionary foods. Only 29.3% completed ⩾150 min of moderate and/or vigorous activity per week and 72.2% spent ⩾6 h per day sitting. Cross-sectional associations between negative symptoms, global function, and PA and sedentary behaviour were observed. Additionally, those with more negative symptoms receiving IMPaCT therapy had fewer positive changes in PA from baseline to 12-month follow-up than those with fewer negative symptoms at baseline.

These results highlight the need for the development of multidisciplinary lifestyle and exercise interventions to target eating habits, PA and sedentary behaviour, and the need for further research on how to adapt lifestyle interventions to baseline mental status. Negative symptoms in particular may reduce patient's responses to lifestyle interventions.

The Work and Social Adjustment Scale (WSAS) is an instrument that can be easily applied for routine evaluation of the impact of mental disorders on patient functioning. In spite of the interest in its use, there is very little information available on its psychometric characteristics and even less in Spanish.

The objective of this study was to analyse its psychometric characteristics.

The sample consisted of 441 patients treated in a community mental health unit. They filled out the WSAS and two psychopathology measures, one for anxiety and the other for depression. Fifty-five of them, chosen at random, were asked to fill out the scale again a second time to explore its temporal reliability.

The scale showed high internal consistency, a single factor that explained 60.4% of the variance, and temporal reliability of .78 for the total score. Significant correlations were found between the WSAS scores and the psychopathological measures, as well as significant differences between those working and those on leave.

The results confirm the validity and reliability of the scale and support its possible use for routine evaluation of the functional impact of mental disorders.

This study examined the relationships between social capital, perceived neighborhood environment, and depressive symptoms among older adults living in rural China, and the moderating effect of self-rated health (SRH) in these relationships.

A quota sampling method was applied to recruit 447 participants aged 60 years and older in rural communities in Jilin province, China in 2019.

Depressive symptoms were measured by the Center for Epidemiologic Studies Depression Scale. Structural equation modeling was used to build latent constructs of social capital and test the proposed model. Multiple group analysis was used to test the moderation effects.

Cognitive social capital and structural social capital were both associated with depressive symptoms controlling for participants’ demographics, socioeconomic status, and health status. After adding perceived environment variables in the model, the relationship between cognitive social capital and depressive symptoms became nonsignificant, while structural social capital remained became a significant factor (β = −.168, p < .01). Satisfaction with health care was significantly associated with depressive symptoms among those with poor SRH (β = −.272, p < .01), whereas satisfaction with security and transportation were strongly associated with depressive symptoms among those with good SRH (security: β = −.148, p < .01; transportation: β = −.174, p < .01).

Study findings highlighted the importance of social capital and neighborhood environment as potential protective factors of depressive symptoms in later life. Policy and intervention implications were also discussed.

The quality of life and lifespan are greatly reduced among individuals with mental illness. To improve prognosis, the nascent field of precision psychiatry aims to provide personalised predictions for the course of illness and response to treatment. Unfortunately, the results of precision psychiatry studies are rarely externally validated, almost never implemented in clinical practice, and tend to focus on a few selected outcomes. To overcome these challenges, we have established the PSYchiatric Clinical Outcome Prediction (PSYCOP) cohort, which will form the basis for extensive studies in the upcoming years.

PSYCOP is a retrospective cohort study that includes all patients with at least one contact with the psychiatric services of the Central Denmark Region in the period from January 1, 2011, to October 28, 2020 (n = 119 291). All data from the electronic health records (EHR) are included, spanning diagnoses, information on treatments, clinical notes, discharge summaries, laboratory tests, etc. Based on these data, machine learning methods will be used to make prediction models for a range of clinical outcomes, such as diagnostic shifts, treatment response, medical comorbidity, and premature mortality, with an explicit focus on clinical feasibility and implementation.

We expect that studies based on the PSYCOP cohort will advance the field of precision psychiatry through the use of state-of-the-art machine learning methods on a large and representative data set. Implementation of prediction models in clinical psychiatry will likely improve treatment and, hopefully, increase the quality of life and lifespan of those with mental illness.